class_docstr: Base class for a trainable model
docstr: convert any chosen input to valid model format of tensors
docstr_tok: ["convert","any","chosen","input","to","valid","model","format","of","tensors"]
code: def convert_to_tensors(self, *args, **kwargs):
      """convert any chosen input to valid model format of tensors"""
      raise NotImplementedError
  
file_path: nlp-architect/nlp_architect/models/__init__.py
imports: import logging
  from abc import ABC
label_desc: Use image node_id 1 for calling the TrainableModel obj's underlying member method code with example usage: obj.convert_to_tensors() without return types